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Paper Citation Record · LEDGER

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2512.17303.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.17303 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:27:40.137014Z

measured 37 of 37 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy0
  • unresolved36
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  • malformed identifier1
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Outbound references

Observation 1bea322f-d7a6-452e-bf3f-287425f6fdbb · outbound

This paper cites Self-rectifying diffu- sion sampling with perturbed-attention guidance.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Self-rectifying diffu- sion sampling with perturbed-attention guidance

Reference 1

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Observation e2b91734-9b77-42bd-9219-adec993b08ca · outbound

This paper cites Consistency-diversity-realism Pareto fronts of conditional image generative models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Consistency-diversity-realism Pareto fronts of conditional image generative models

Reference 2

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Observation 837abbf0-e5e8-4a43-b38f-b62f1162d0ff · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 3

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Observation 23f2c15c-61c1-4094-9fad-53993f6d7753 · outbound

This paper cites 1, 2, 4, 5, 7.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance 1, 2, 4, 5, 7

Reference 4

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Observation b396fdd9-407f-4ae8-a8d4-31000a1b2ee5 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Imagenet: A large-scale hierarchical image database

Reference 5

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Observation 850a52ab-3859-4c91-aa20-ad33a1aaa65d · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 6

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Observation 08bef99e-2973-4992-a1b1-cc080527a4ea · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 7

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Observation 410fb173-c06e-4d3c-bc39-2edb6e646f7a · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020

Reference 8

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Observation ae4ba123-431d-4cf1-bb63-614e2278efd1 · outbound

This paper cites Evalgim: A library for evaluating generative image models,.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Evalgim: A library for evaluating generative image models,

Reference 9

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Observation 8de7568f-d277-41f7-b525-f273a7f4c0a2 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 10

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Observation cd082c4e-986d-4f21-a7dd-93e1e39d702b · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 11

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Observation b8da6bd7-928f-40d4-a3d1-42ea606901fb · outbound

This paper cites Classifier-Free Diffusion Guidance.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Classifier-Free Diffusion Guidance

Reference 12

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Observation dd164860-d998-4032-bd2a-86407c8264fd · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 13

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Observation 113f53da-b03c-44dd-97ad-3d38a5021294 · outbound

This paper cites Smoothed energy guidance: Guiding dif- fusion models with reduced energy curvature of attention.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Smoothed energy guidance: Guiding dif- fusion models with reduced energy curvature of attention

Reference 14

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Observation 7a1093de-4245-4528-a3f4-23ef89cd0c89 · outbound

This paper cites Improving sample quality of diffusion models us- ing self-attention guidance.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Improving sample quality of diffusion models us- ing self-attention guidance

Reference 15

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Observation d038c586-528b-4387-8fe0-833d86e4acc5 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Neural networks and physical systems with emergent collective computational abilities.Proceedings of the national academy of sciences, 79(8):2554–2558, 1982

Reference 16

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Observation 56b4c64e-d8d2-4e33-9893-c60fb43d8fd5 · outbound

This paper cites Entropy rectifying guidance for diffusion and flow models.arXiv preprint arXiv:2504.13987, 2025.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Entropy rectifying guidance for diffusion and flow models.arXiv preprint arXiv:2504.13987, 2025

Reference 17

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Observation b0230075-4e88-412d-81a8-74c6a684888d · outbound

This paper cites Guiding a diffusion model with a bad version of itself.Advances in Neural In- formation Processing Systems, 37:52996–53021, 2024.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Guiding a diffusion model with a bad version of itself.Advances in Neural In- formation Processing Systems, 37:52996–53021, 2024

Reference 18

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Observation 9f5e1795-af67-4dd3-b161-aee06b7d9ef2 · outbound

This paper cites Understanding diffu- sion objectives as the elbo with simple data augmentation.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Understanding diffu- sion objectives as the elbo with simple data augmentation

Reference 19

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Observation 8e90b0ff-5ff8-42b5-b7d8-11e989290984 · outbound

This paper cites Microsoft coco: Common objects in context.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Microsoft coco: Common objects in context

Reference 20

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Observation 201415de-faf2-4f78-8b91-b48b2c7601f6 · outbound

This paper cites Flow Matching for Generative Modeling.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Flow Matching for Generative Modeling

Reference 21

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Observation 416bfaa5-7860-4c64-8947-a9fc6a6d0a64 · outbound

This paper cites Learning-to-cache: Accelerating diffusion trans- former via layer caching.Advances in Neural Information Processing Systems, 37:133282–133304, 2024.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Learning-to-cache: Accelerating diffusion trans- former via layer caching.Advances in Neural Information Processing Systems, 37:133282–133304, 2024

Reference 22

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Observation 18133848-76f3-45f9-ba45-56560665ae1b · outbound

This paper cites Diffusion Models Beat GANs on Image Classification.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Diffusion Models Beat GANs on Image Classification

Reference 23

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Observation fcb396de-c2ac-4c08-ab55-86e5b9bb5c14 · outbound

This paper cites Reliable fidelity and diversity metrics for generative models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Reliable fidelity and diversity metrics for generative models

Reference 24

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Observation 1485a3aa-5744-4b63-9787-8e62ef404041 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 25

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Observation a9c211c3-0165-48d9-9be8-7eb6ac60874d · outbound

This paper cites Scalable diffusion models with transformers.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Scalable diffusion models with transformers

Reference 26

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Observation d7062022-a3ec-4975-8a17-924c46697e5b · outbound

This paper cites Hopfield Networks is All You Need.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Hopfield Networks is All You Need

Reference 27

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Observation 66ab367d-2357-4132-bdf6-a8611df51e30 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance High-resolution image synthesis with latent diffusion models

Reference 28

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Observation 772852db-356a-4c86-8faf-5cfe500d97cd · outbound

This paper cites CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling

Reference 29

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Observation 3b561d09-eb73-4b94-bba2-8789c85bcfd1 · outbound

This paper cites Eliminating oversaturation and artifacts of high guid- ance scales in diffusion models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Eliminating oversaturation and artifacts of high guid- ance scales in diffusion models

Reference 30

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Observation 0ac5fa3b-b085-4083-b95b-fda716116715 · outbound

This paper cites Rethinking the spatial inconsistency in classifier- free diffusion guidance.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Rethinking the spatial inconsistency in classifier- free diffusion guidance

Reference 31

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Observation 5531b741-1f24-4d1a-9830-469e5c92c804 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Deep unsupervised learning using nonequilibrium thermodynamics

Reference 32

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Observation 381ba42d-df73-4c75-aeb9-4f81fd97863c · outbound

This paper cites Denoising Diffusion Implicit Models.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Denoising Diffusion Implicit Models

Reference 33

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Observation 9fd66a96-c145-4bde-ad21-5e6f74b67a55 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Score-Based Generative Modeling through Stochastic Differential Equations

Reference 34

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Observation 0c53da73-3b19-4519-bd50-0838ebbb7ed2 · outbound

This paper cites Audit: Audio editing by following instruc- tions with latent diffusion models.Advances in Neural In- formation Processing Systems, 36:71340–71357, 2023.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Audit: Audio editing by following instruc- tions with latent diffusion models.Advances in Neural In- formation Processing Systems, 36:71340–71357, 2023

Reference 35

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Observation 517ce96e-7d00-4eea-9784-fed63d5b109c · outbound

This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

Reference 36

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Observation 613d0656-3389-4b9e-8b96-f82177c4ee13 · outbound

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EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance patterns

Reference 2023

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Pith citing papers

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